Exploring Different Feature Selection Techniques for High Risk Disease prediction using Machine Learning-Reference-Cited by-同舟云学术

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Exploring Different Feature Selection Techniques for High Risk Disease prediction using Machine Learning

Published:2024-04-25 Issue: Volume:10 Page:1-6
ISSN:
Container-title:2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
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Author:

Kadam Prema S.¹,Godse Sachin¹

Affiliation:

1. Vishwakarma Institute of Information Technology,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574857/10574907/10575737.pdf?arnumber=10575737

Reference18 articles.

1. Attribute Selection Analysis for the Random Forest Classification in Unbalanced Diabetes Dataset

2. Effect of Feature Selection on The Accuracy of Music Genre Classification using SVM Classifier

3. Performance evaluation of random forest with feature selection methods in prediction of diabetes;Raghavendra,2020

4. A new graph feature selection approach

5. Feature Selection: A Review and Comparative Study

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